Multi-aircraft behavior recognition method for airport scene based on ASTERIX data

To solve the problem that it is difficult to judge the multiple aircraft behaviors through the corresponding trajectory information, all kinds of which are similar in the airport scene video monitoring system, multi-aircraft behavior recognition method for airport scene based on ASTERIX data is proposed. Firstly, ASTERIX data is used to locate the aircraft in the video by the perspective transformation and the historical trajectory information is used to predict the location of aircraft at the next moment, through which can extract the movement area of each aircraft. Namely, the multi-aircraft behavior recognition task is transformed into multiple single-aircraft behavior recognition tasks. Finally, the behavior recognition is completed by the fusion convolution with multi-time scales method in the movement region of each aircraft. The experiment based on a self-made dataset containing various aircraft behaviors at typical airport shows that the proposed method meets the behavior recognition task of multiple targets in the airport scene video monitoring system.